DocumentCode :
1688287
Title :
Integrating complementary/contradictory information into fuzzy-based VoI determinations
Author :
Sheng Miao ; Hammell, Robert J. ; Ziying Tang ; Hanratty, Timothy ; Dumer, John ; Richardson, John
Author_Institution :
Dept. of Comput. & Inf. Sci., Towson Univ., Towson, MD, USA
fYear :
2015
Firstpage :
1
Lastpage :
7
Abstract :
In today´s military environment vast amounts of disparate information are available. To aid situational awareness it is vital to have some way to judge information importance. Recent research has developed a fuzzy-based system to assign a Value of Information (VoI) determination for individual pieces of information. This paper presents an investigation of the effect of integrating subsequent complementary and/or contradictory information into the VoI process. Specifically, the idea of using complementary and/or contradictory new information to impact the previously used fuzzy membership values for the information content characteristic applied in the VoI calculations is shown to be a particularly suitable approach.
Keywords :
content-addressable storage; fuzzy set theory; information systems; military computing; VoI process; complementary-contradictory information integration; fuzzy membership values; fuzzy-based VoI determinations; fuzzy-based system; information content characteristics; military environment; situational awareness; value of information determination; Decision support systems; decision support; fuzzy associative memory; intelligence analysis; situational awareness; value of information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Security and Defense Applications (CISDA), 2015 IEEE Symposium on
Conference_Location :
Verona, NY
Print_ISBN :
978-1-4673-7556-6
Type :
conf
DOI :
10.1109/CISDA.2015.7208636
Filename :
7208636
Link To Document :
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